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Geothermal Energy Potential in Selected Areas of Western Australia ...

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17<br />

T=T0+QR, where R=z/ (average thermal conductivity between the surface and z).<br />

Consequently the most highly prospective regions for geothermal exploration are<br />

those that have geological units <strong>of</strong> sufficiently low conductivity (high thermal<br />

resistance) <strong>in</strong> the cover sequence comb<strong>in</strong>ed with high heat flow.<br />

Heat flow is the product <strong>of</strong> temperature gradient and rock thermal conductivity. It is<br />

therefore calculated, or modelled, from these two parameters, not directly measured.<br />

The modell<strong>in</strong>g <strong>of</strong> heat flow is a precision skill that requires a detailed understand<strong>in</strong>g<br />

<strong>of</strong> physical conditions <strong>in</strong> the borehole and the physical properties <strong>of</strong> the rocks;<br />

<strong>in</strong>clud<strong>in</strong>g advective processes that may <strong>in</strong>fluence bore temperature (such as ground<br />

water flow or borehole convection), and the temperature dependence <strong>of</strong> conductivity.<br />

Heat flows determ<strong>in</strong>ations are only as accurate as the data used to generate them. It<br />

is therefore important<br />

that temperature and conductivity data used to calculate heat<br />

flow represent as closely as possible the actual thermal conditions.<br />

HDRPL’s 1D Conductive Heat Flow Modell<strong>in</strong>g s<strong>of</strong>tware accounts for the temperature<br />

dependence <strong>of</strong> conductivity. However,<br />

the results <strong>of</strong> 1D heat flow modell<strong>in</strong>g should<br />

be treated with caution when extrapolat<strong>in</strong>g data laterally over considerable distance.<br />

HDRPL recommends a subsequent, more detailed appraisal <strong>of</strong> the Perth Bas<strong>in</strong>,<br />

<strong>in</strong>corporat<strong>in</strong>g the data derived from this study and utilis<strong>in</strong>g 3D conductive heat flow<br />

modell<strong>in</strong>g s<strong>of</strong>tware.<br />

4.3. Verification <strong>of</strong> Well Temperatures<br />

Reported well temperatures measured dur<strong>in</strong>g the drill<strong>in</strong>g process are <strong>of</strong>ten <strong>of</strong><br />

unknown<br />

quality. Even reliably reported temperature data typically underestimate the<br />

true rock temperature because <strong>of</strong> the cool<strong>in</strong>g effect <strong>of</strong> circulat<strong>in</strong>g drill<strong>in</strong>g mud. In<br />

order to ensure the most accurate data are used <strong>in</strong> the thermal modell<strong>in</strong>g process,<br />

statistical corrections (such as Horner Plots) can be applied to time series data<br />

recorded dur<strong>in</strong>g the logg<strong>in</strong>g process.<br />

The Horner plot method corrects for bore hole cool<strong>in</strong>g created by the drill<strong>in</strong>g process<br />

us<strong>in</strong>g the parameters <strong>of</strong> recorded bore hole temperature; the time s<strong>in</strong>ce the last fluid<br />

circulation; and the time elapsed between<br />

the end <strong>of</strong> drill<strong>in</strong>g and the cessation <strong>of</strong> fluid<br />

www.hotdryrocks.com

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